Antworten (KI-Antworten)

Die KI-Antworten hinter jeder Kennzahl, mit vollständigem Text, Erwähnungen, Zitierungen und Sentiment-Analyse.

GET`/answers`

Listet KI-Antworten mit ihrem Inhalt auf. Liefert paginierte Ergebnisse mit gekürztem Antworttext (max. 10.000 Zeichen). Mit query durchsuchen Sie die Antworttexte im Volltext, ohne Unterscheidung von Groß- und Kleinschreibung: total enthält dann die genaue Anzahl der passenden Antworten, und jedes Element liefert snippet und match_count statt des vollständigen Felds response.

Parameter:

project_iderforderlich
model
collection_id
promptPrompt-ID
country_code
language_code
from
to
page
per_page
queryVolltextsuche
mention_filter
citation_filter
competitors

Die letzten drei bilden die zweiachsige Matrix der Seite „Antworten“: mention_filter akzeptiert mentions_you, not_mentions_you, mentions_competitor, not_mentions_competitor, you_and_competitor, competitor_not_you, you_not_competitor oder no_brands (keine der Marken im Tracking kommt vor); citation_filter akzeptiert dieselben Zellen bezogen auf zitierte Domains (cites_you, not_cites_you, cites_competitor, not_cites_competitor, you_and_competitor, competitor_not_you, you_not_competitor, cites_no_brands). Beide lassen sich kombinieren, und competitors (kommagetrennte IDs) beschränkt die Wettbewerberseite auf diese Wettbewerber. Bei unbekannten Werten antwortet die API mit ERR_INVALID_PARAM.

GET`/answers/:id`

Liefert eine einzelne KI-Antwort mit allen Details, darunter Erwähnungen, Zitierungen, Sentiments und Quellen.

Parameter:

project_iderforderlich
idAntwort-ID in der URL

Codebeispiele

Download: OpenAPI Swagger Postman

KI fragen: In ChatGPT öffnen In Claude öffnen Als Markdown anzeigen

Sprache

Request

curl -X GET -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.llmpulse.ai/api/v1/answers?project_id=PROJECT_ID"

require 'httparty'

response = HTTParty.get(
  "https://api.llmpulse.ai/api/v1/answers?project_id=PROJECT_ID",
  headers: { "Authorization" => "Bearer YOUR_API_KEY" }
)
data = response.parsed_response

package main

import "net/http"

func main() {
	req, _ := http.NewRequest("GET", "https://api.llmpulse.ai/api/v1/answers?project_id=PROJECT_ID", nil)
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()
}

$client = new GuzzleHttp\Client();
$response = $client->request('GET', 'https://api.llmpulse.ai/api/v1/answers?project_id=PROJECT_ID', [
    'headers' => ['Authorization' => 'Bearer YOUR_API_KEY']
]);
$data = json_decode($response->getBody(), true);

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.llmpulse.ai/api/v1/answers?project_id=PROJECT_ID"))
            .header("Authorization", "Bearer YOUR_API_KEY")
            .GET()
            .build();
        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
    }
}

Response

{ "project_id":107, "page":1, "per_page":20, "total":420,
  "data":[{
    "id":748952, "prompt_id":101,
    "prompt_text":"Best AI visibility tools for marketers",
    "model":"chatgpt", "response":"Here are the top AI visibility tools...",
    "response_truncated":false, "executed_at":"2025-12-15T10:00:00Z",
    "duration_ms":1234, "mentions_count":1, "citations_count":3
  }],
  "request_id":"..."
}

Request

curl -X GET -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.llmpulse.ai/api/v1/answers/12345"

package main

import "net/http"

func main() {
	req, _ := http.NewRequest("GET", "https://api.llmpulse.ai/api/v1/answers/12345", nil)
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	client := &http.Client{}
	resp, err := client.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()
}

$client = new GuzzleHttp\Client();
$response = $client->request('GET', 'https://api.llmpulse.ai/api/v1/answers/12345', [
    'headers' => ['Authorization' => 'Bearer YOUR_API_KEY']
]);
$data = json_decode($response->getBody(), true);

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.llmpulse.ai/api/v1/answers/12345"))
            .header("Authorization", "Bearer YOUR_API_KEY")
            .GET()
            .build();
        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
    }
}

Response

{
  "id":748952, "prompt_id":101, "prompt_text":"Best AI visibility tools",
  "model":"chatgpt", "response":"Full response text here...",
  "executed_at":"2025-12-15T10:00:00Z", "duration_ms":1234, "success":true,
  "mentions":[{ "id":1001, "keywords":["Acme"], "position":2 }],
  "citations":[{ "id":2001, "url":"https://acme.com/article", "position":1 }],
  "sentiments":[{
    "id":3001, "analysis":"positive", "score":0.8,
    "comment":"The brand is mentioned favorably", "topics":["quality","reliability"]
  }],
  "sources":[{ "id":4001, "url":"https://source.com", "domain":"source.com", "position":1 }],
  "request_id":"..."
}

Antworten (KI-Antworten)

GET/answers

GET/answers/:id

GET`/answers`

GET`/answers/:id`